ADAS-ready 3D LiDAR plus radar/camera fusion annotation, edge-case curation, and EU AI Act Article 10 evidence packs. Trained data your homologation review can defend.
DPA included · EEA-only processing · Project lead replies within one business day
Including evaluation engagements, data-collection programs and active annotation work across OEM and Tier-1 suppliers.
Unstructured sensor logs, untracked edge cases, and slow QA loops push your SOP date. Three concrete cost centers eat your ADAS programme before you reach homologation.
One unhandled occlusion, one missed cyclist behind a parked van. Two months of retraining, regression testing, and re-validation per ASPICE before the model is back in scope.
Time-aligned, calibration-aware annotation across modalities is non-negotiable. An off-by-one frame between LiDAR cuboid and 2D bounding-box produces ghost objects that ship into validation.
ADAS systems classify as high-risk AI under the EU AI Act. Article 10 requires documented data governance: lineage, bias mitigation, traceability. Vendors that cannot produce evidence packs cost you the audit.
Annotation that respects sensor calibration, time-synchronization, and the QA escalation chain your validation team already runs.
Cross-sensor object identities. 3D cuboid drawn in LiDAR auto-projects onto camera and radar tracks. Spatial calibration and temporal sequence preserved through QA.
3D bounding boxes, instance segmentation, semantic labels on dense LiDAR. Ground-plane differentiation. Cuboid interpolation across frames for moving objects.
Targeted mining and labeling of rare scenarios: occluded VRUs, low-sun glare, winter conditions, unusual road furniture. Nordic edge cases YPAI captures natively (snow, moose, low-sun, dark winters).
Driver Monitoring System data, gaze and drowsiness ground truth, and multilingual in-cabin voice. Nordic-language coverage that US vendors cannot match.
Tell us what modalities, what volumes, and what regulatory context. Project lead replies within one business day with a scoped quote and pipeline plan.
Poor annotation costs the average enterprise ML team 6-8 weeks of retraining per year. Our multi-stage verification process delivers 98% target accuracy on your specific use cases.
Test with your actual data before committing
Volume discounts starting at 10K annotations
Training-data governance evidence packs included with every engagement
Honest about what we hold, what we align with, and what we do not claim. Defensible against an OEM information-security audit, an EU AI Act Article 10 review, and a TISAX assessor's questions.
Data processing on EEA infrastructure by default. Named sub-processor list shared at engagement scoping (S3, hosting, ML compute). No data transfers outside EEA without explicit DPA addendum and customer sign-off.
YPAI partners with leading automotive manufacturers and AV technology developers, helping them accelerate development timelines, significantly reduce costs, and ensure robust vehicle safety.
Trusted By Leading Automotive Innovators
End-to-end support for automotive AI development from data collection through deployment, powering the future of intelligent transportation.
Comprehensive testing frameworks, LiDAR annotation, sensor fusion, and 3D point cloud annotation for autonomous and ADAS systems.
Comprehensive testing frameworks ensuring safety and reliability
Specialized 3D data labeling for depth perception and free-space detection
Synchronized multi-sensor data annotation across camera, LiDAR, radar
Pixel-precise lane, drivable-surface and obstacle labeling for ADAS
Advanced voice AI for hands-free control, multilingual support across 50+ languages, and natural conversation interfaces.
Predictive maintenance, route optimization, and real-time telematics data processing for efficient fleet operations.
Video annotation, image annotation, and real-world data collection across diverse driving conditions and scenarios.
Frame-by-frame labeling for dashcam analysis and driver monitoring
Precision labeling for object detection and traffic-sign classification
Real-world driving and edge-case capture across diverse conditions
Cross-modal annotation pipeline with EU AI Act Article 10 provenance
Ready to accelerate your automotive AI development? Let's discuss how YPAI can provide the precision data infrastructure your project needs.
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